Google Cloud Data Loss Prevention Metrics

Ship your Google Cloud Data Loss Prevention Metrics via Telegraf to your Logit.io Stack

Follow the steps below to send your observability data to Logit.io

Metrics

Configure Telegraf to ship Google Cloud Data Loss Prevention metrics to your Logit.io stacks via Logstash.

Install Integration

Please click on the Install Integration button to configure your stack for this source.

Set Credentials in GCP

@intro

Begin by heading over to the 'Project Selector' (opens in a new tab) and select the specific project from which you wish to send metrics.
- Progress to the 'Service Account Details' screen. Here, assign a distinct name to your service account and opt for 'Create and Continue'.
- In the 'Grant This Service Account Access to Project' screen, ensure the following roles: 'Compute Viewer', 'Monitoring Viewer', and 'Cloud Asset Viewer'.
- Upon completion of the above, click 'Done'.
- Now find and select your project in the 'Service Accounts for Project' list.
- Move to the 'KEYS' section.
- Navigate through Keys > Add Key > Create New Key, and specify 'JSON' as the key type.
- Lastly, click on 'Create', and make sure to save your new key.
Now add the environment variable for the key

On the machine run:
```
export GOOGLE_APPLICATION_CREDENTIALS=<your-gcp-key>
```

Install Telegraf

This integration allows you to configure a Telegraf agent to send your metrics, in multiple formats, to Logit.io.

Choose the installation method for your operating system:

When you paste the command below into Powershell it will download the Telegraf zip file. Once that is complete, press Enter again and the zip file will be extracted into C:\Program Files\InfluxData\telegraf\telegraf-1.31.2.

wget https://dl.influxdata.com/telegraf/releases/telegraf-1.31.2_windows_amd64.zip -UseBasicParsing -OutFile telegraf-1.31.2_windows_amd64.zip 
Expand-Archive .\telegraf-1.31.2_windows_amd64.zip -DestinationPath 'C:\Program Files\InfluxData\telegraf'

Configure the Telegraf input plugin

First you need to set up the input plug-in to enable Telegraf to scrape the GCP data from your hosts. This can be accomplished by incorporating the following code into your configuration file:

# Gather timeseries from Google Cloud Platform v3 monitoring API
[[inputs.stackdriver]]
  ## GCP Project
  project = "<your-project-name>"
 
  ## Include timeseries that start with the given metric type.
  metric_type_prefix_include = [
	"@metric_type",
  ]
 
  ## Most metrics are updated no more than once per minute; it is recommended
  ## to override the agent level interval with a value of 1m or greater.
  interval = "1m"

Read more about how to configure data scraping and configuration options for Stackdriver (opens in a new tab)

Configure the output plugin

Once you have generated the configuration file, you need to set up the output plug-in to allow Telegraf to transmit your data to Logit.io in Prometheus format. This can be accomplished by incorporating the following code into your configuration file:

[[outputs.http]]
  url = "https://@metricsUsername:@metricsPassword@@metrics_id-vm.logit.io:@vmAgentPort/api/v1/write"
  data_format = "prometheusremotewrite"
 
  [outputs.http.headers]
    Content-Type = "application/x-protobuf"
    Content-Encoding = "snappy"

Start Telegraf

From the location where Telegraf was installed (C:\Program Files\InfluxData\telegraf\telegraf-1.31.2) run the program providing the chosen configuration file as a parameter:

.\telegraf.exe --config telegraf-demo.conf

Once Telegraf is running you should see output similar to the following, which confirms the inputs, output and basic configuration the application has been started with: Powershell Telegraf information

View your metrics

Data should now have been sent to your Stack.

View My Data

If you don't see metrics take a look at How to diagnose no data in Stack below for how to diagnose common issues.

How to diagnose no data in Stack

If you don't see data appearing in your stack after following this integration, take a look at the troubleshooting guide for steps to diagnose and resolve the problem or contact our support team and we'll be happy to assist.

Telegraf Google AI Platform metrics Overview

For effective tracking and intelligent scrutiny of Google Cloud Data Loss Prevention metrics across distributed systems, the necessity for a powerful and proficient metrics management solution, such as Telegraf, is of utmost importance. Telegraf, being an open-source server agent, is esteemed for its competence in collecting and reporting metrics from diverse sources, including active Cloud Data Loss Prevention instances, databases, and relevant applications.

Telegraf hosts an all-encompassing assortment of input plugins, enabling users to garner varied metrics like query numbers, latency, error frequencies, and beyond. These metrics are vital to fathom the performance of Google Cloud Data Loss Prevention. For the storage and examination of these accumulated metrics, organizations can leverage Prometheus, an open-source monitoring and alerting toolkit, greatly valued for its flexible query language and potent data visualization abilities.

The process of transmitting Google Cloud Data Loss Prevention metrics from Telegraf to Prometheus comprises configuring Telegraf to display metrics in Prometheus's format and then instructing Prometheus to scrape these metrics from the Telegraf server.

Once the metrics are successfully assimilated into Prometheus, further comprehensive analysis and visualization can be performed using Grafana. Grafana is a top-tier open-source platform esteemed for its monitoring and observability attributes, and it syncs seamlessly with Prometheus. It empowers users to construct dynamic, interactive dashboards for a detailed examination of metrics data, granting a thorough insight into performance trends and potential issues within Google Cloud Data Loss Prevention.

If you need any further assistance with shipping your log data to Logit.io we're here to help you get started. Feel free to get in contact with our support team by sending us a message via live chat & we'll be happy to assist.

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